• Title/Summary/Keyword: ${\beta}$-proteobacteria

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Changes of the Bacterial Community Structure Depending on Carbon Source in Biological Phosphate Removing Process (생물학적 인 제거 공정에서 탄소원에 따른 미생물군집구조의 변화)

  • Yeo, Sang-Min;Lee, Young-Ok
    • Journal of Korean Society of Environmental Engineers
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    • v.28 no.2
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    • pp.165-172
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    • 2006
  • In order to analyze the bacterial community structure including P-removal related organisms, PAOs(polyphosphate accumulating organisms) and GAOs(glycogen-accumulating non-poly-P organisms) occurred in biological phosphate removing process, 2 reactors(SBR; sequencing batch reactor) were operated on different carbon sources(sodium acetate, glucose). For the analysis of bacterial community structure, molecular methods(FISH: fluorescent in situ hybridization and DGGE; denaturing gel gradient electrophoresis) were employed. After 100 days reaction, $PO_4-P$ in effluent dropped to 3.92 mg/L in SBR #1(60.8% removal) fed by sodium acetate, and at the same time FISH results showed that ${\beta}$-subclass proteobacteria(39.67%) and PAOs(45.10%) were dominantly present whereas those value in SBR #2 fed by glucose was 8.30 mg/L(17% removal), and ${\gamma}$-subclass proteobacteria were considerably observed(23.89%) and PAOs was 21.42%. Also the result of DGGE indicated that ${\beta}$-subclass proteobacteria was dominantly observed in SBR #1. However as the temperature increased, the proportion of ${\beta}$-subclass proteobacteria and PAOs decreased, but phosphorus removing inhibitors(GAOs) increased. It suggests that the environmental factor like as temperature and types of carbon source had influence on the prevalence of phosphorus removing organism(PAOs) and phosphorus removing inhibitors(GAOs) in biological phosphate removing process.

Comparison of the Phylogenetic Diversity of Humus Forest Soil Bacterial Populations via Different Direct DNA Extyaction Methods (DNA 직접추출법에 따른 산림토양 부식층 내 세균군집의 계통학적 다양성 비교)

  • Son, Hee-Seong;Han, Song-Ih;Whang, Kyung-Sook
    • Korean Journal of Microbiology
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    • v.43 no.3
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    • pp.210-216
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    • 2007
  • The principal objective of this study was to analyze 16S rDNA-ARDRA of the humus forest soil via an improved manual method and an ISOIL kit on the basis of the UPGMA clustering of the 16S rDNA combined profile, 44 ARDRA clusters of 76 clones via the ISOIL kit method and 45 ARDRA clusters of 136 clones via the improved manual method. On the basis of the 16S rDNA sequences, 44 clones from the ARDRA clusters by the ISOIL kit were classified into 3 phyla : ${\alpha}-,\;{\beta}-,\;{\gamma}-,\;{\delta}-Proteobacteria$, Acidobacteria and Actinobacteria. Using the improved manual method, the specimens were classified into 6 phyla : the ${\alpha}-,\;{\beta}-,\;{\gamma}-,\;{\delta}-Proteobacteria$, Acidobacteria, Bacteroides, Verrucomicrobia, Planctomycetes and Gemmatomonadetes. As a result, the modified manual method indicated greater phylogenetic diversity than was detected by the ISOIL kit. Approximately 40 percent of the total clones were identified as ${\alpha}-Proteobacteria$ and 30 percent of the total clones were ${\gamma}-Proteobacteria$ and assigned to dominant phylogenetic groups using the ISOIL kit. Using the modified manual method, 41 percent of the total clones were identified as Acidobacteria and 28 percent of total clones were identified as ${\alpha}-proteobacteria$ and assigned to dominant phylogenetic groups.

Analysis of Bacterial Community Structure Using FISH in the Juam Reservoir (FISH법으로 분석한 주암호의 세균군집구조)

  • Park, Ji-Eun;Yeo, Sang-Min;Lee, Young-Ok
    • Korean Journal of Ecology and Environment
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    • v.39 no.2 s.116
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    • pp.219-225
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    • 2006
  • Bacterial community structure in the Juam Reservoir was analysed using fluorescent in situ hybridization (FISH) technique from April 2005 to January 2006. Total bacterial numbers varied in the range of 1.58 ${\sim}\;2.73{\times}\;10^6\;cells\;mL^{-1}$ proportional to the concentration of chi-a and had the minimal value in January. The ratios of ${\alpha}\;{\cdot}\;{\beta}\;{\cdot}\;{\gamma}$-subclass proteobacteria and Cytophaga-Flavobacterium (CF) group to total bacteria ranged from 45.1% to 77.5%, and the ratios of ${\alpha}\;{\cdot}\;{\beta}\;{\cdot}\;{\gamma}$-subclasses to total bacteria in June and September with the concentration of chi-a measured were lower than those ratios in April and January. It suggests that enriched growth of Microcystis aeruginosa may inhibit the metabolic activlty of ${\alpha}\;{\cdot}\;{\beta}\;{\cdot}\;{\gamma}$-subclass proteobacteria. However, the ratio of CF group bacteria represented no large change depending on algal bloom. In terms of nitrifying bacteria, the numbers of ammonia-oxidizing bacteria ranged from 9.9 ${\times}\;10^4\;to\;25.5\;{\times}10^4\;cells\;mL^{-1}$ with sharp fluctuation whereas those of nitrite-oxidizing bacteria varied in 8.7${\sim}9.8{\times}10^4\;cells\;mL^{-1}$ without noticeable change except the maximal value of $20.3{\times}10^4\;cells\;mL^{-1}$ in January maybe due to the high DO.

Detection of Conserved Genes in Proteobacteria by using a COG Algorithm (COG 알고리즘을 통한 Proteobacteria의 보존적 유전자 파악)

  • 이동근;강호영;이재화;김철민
    • KSBB Journal
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    • v.17 no.6
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    • pp.560-565
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    • 2002
  • A COG(clusters of orthologous groups of proteins) algorithm was used to detect conserved genes within Proteobacteria and to figure out their relationships. Restricting comparison to the sequences of 42 procaryotes, 33 eubacteria and 16 Proteobacteria, the number of conserved genes was increased. All analyzed procaryotes shared 75 COGs. COG0195, COG0358 and COG0528 were only represented by the 42 procaryotes. Sixtyfour COGs were added as conserved genes in 33 eubacteria. Each Proteobacteria group has a unique repertoire of COGs. Metabolic COGs were more diverse in the beta Proteobacteria group than in the other groups. These results could be used to determine the origins and the evolutionary relationships of Proteobacteria. The possibilities of detecting new biological molecules is high in phylogenetically related organisms, hence the identification of useful proteins by using this algorithm is possible.

Structure and Characteristics of Bacterial Community on Biofilm of Food Wastewater Treatment System in Winter (식품폐수 처리 공정용 생물막의 겨울철 세균군집 구조와 특성)

  • Lee, Dong-Geun;Yoo, Ki-Hwan;Park, Seong-Joo
    • Journal of Environmental Health Sciences
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    • v.37 no.2
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    • pp.124-132
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    • 2011
  • Biofilm and aeration tank of pilot and full RABC (rotating activated Bacillus contactor) plant were analyzed to characterize and determine bacterial community structure in food wastewater treatment system at winter. Concentration of heterotrophic bacteria and Bacillus group was $10^7$ and $10^5$ CFU/ml, respectively, at biofilm of pilot-plant while others represented $10^6$ and $10^4$ CFU/ml, respectively. Five and eight phyla were detected at biofilm of pilot- and full-plant, respectively, by 16S rDNA sequencing. Biofilm of pilot-plant was dominated by ${\beta}$-Proteobacteria (38.8%), ${\gamma}$-Proteobacteria (22.4%), and Bacteroidetes (12.2%), and the most dominant genus was Zoogloeae genus (22.4%). Candidate division TM7 (12.5%) was only detected at biofilm of full-plant and it was dominated by Bacteroidetes (33.3%), ${\gamma}$-Proteobacteria (29.2%), and ${\beta}$-Proteobacteria (20.8%). Clostridium genus specific primer set enabled to detect the sequences of Clostridium genus. These suggested that anaerobic and aerobic bacteria were coexisted even from the initial period of biofilm formation and ${\beta}$-Proteobacteria, ${\gamma}$-Proteobacteria and Bacteroidetes were major phyla in biofilm of food wastewater treatment system at winter.

16S rRNA Gene Sequence-based Microbial Diversity Analyses of the Geothermal Areas of Cisolok, Kamojang, and Likupang in Indonesia (16S rRNA 분석을 통한 인도네시아의 Cisolok, Kamojang, Likupang 지열지대 내 미생물 다양성 분석)

  • Seo, Myung-Ji;Kim, Jeong-Nyeo;Pyun, Yu-Ryang
    • Microbiology and Biotechnology Letters
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    • v.40 no.3
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    • pp.268-273
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    • 2012
  • Microbial diversity analyses were performed in several geothermal areas in Indonesia using a culture-independent approach with 16S rRNA gene sequencing. All areas and the majority of samples were noted as being affiliated with Proteobacteria. In addition, unclassified bacteria with no phylum affiliation were detected at an incidence rate of 20.0-26.5% in every location. The majority groupings in the geothermal hot stream in Cisolok belonged to ${\beta}$-Proteobacteria (27.1%) and Cyanobacteria (11.0%), whereas the majority from the volcanic area in Kamojang was ${\gamma}$-Proteobacteria (51.5%) followed by Aquificales (12.9%). The predominant groups around an underwater thermal vent in the sea at Likupang were ${\gamma}$-Proteobacteria (33.3%) and then Bacteroidetes (27.6%). This detailed microbial community analyses of each area strongly support a possible association with plausible community groups and environmental habitats, such as extremely geothermal or marine habitats. This study has significantly contributed to the expansion of scientific knowledge of the microbial community in Indonesia.

Microbial Community Analysis Isolated from Red Starfish (Certonardoa semiregularis) Gut (빨강불가사리(Certonardoa semiregularis)에서 분리된 세균의 군집구조 분석)

  • Lee, Hae-Ri;Park, So-Hyun;Kim, Dong-Hwi;Moon, Kyung-Mi;Heo, Moon-Soo
    • Journal of Life Science
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    • v.28 no.8
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    • pp.955-961
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    • 2018
  • Although much research has focused on various bioactive substances in starfish, research on microorganisms isolated from starfish is lacking as compared with other natural products. In this study, we investigated bacterial communities in the gut of red starfish (Certonardoa semiregularis) in Jeju Island. In total, 103 bacterial strains were isolated using marine agar and R2A medium. The isolated strains were analyzed and identified using the 16S rRNA gene sequence. Based on an analysis of this gene sequence, the 103 isolated bacteria were classified into four major groups: Proteobacteria (93%: Alpha-proteobacteria, 24.8%; Beta-proteobacteria, 4%; Gammaproteobacteria, 65%) Bacteroidetes (4%), Actinobacteria (2%), and Firmicutes (1%). In addition, the isolates were divided into seven classes (Actinobacteria, Flavobacteria, Bacilli, Sphingobacteria, Alphaproteobacteria, Betaproteobacteria, and Gammaproteobacteria), 15 orders, 19 families, and 24 genera. A phylogenetic analysis revealed two strains, Lysobacter sp. and Pedobacter sp., with similarity of 97.55% and 97.58%, respectively. As the similarity in the 16S rRNA gene sequence was 98% or less compared to previously identified bacteria, the two strains may possibly be classified as a new genus or species. We suggest that additional studies, including biochemical and morphological tests, should be performed to identify the new candidate strains.

Distribution of Electrochemically Active Bacteria in the Sediment (Sediment에서의 전기활성 박테리아 분포 특성)

  • Son, Hyeng-Sik;Son, Hee-Jong;Kim, Mi-A;Lee, Sang-Joon
    • Journal of Korean Society of Environmental Engineers
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    • v.32 no.12
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    • pp.1094-1101
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    • 2010
  • Microbial fuel cells (MFC) were enriched using sediment Nakdong river, Hoidong river and protected water area in Gijang. The microbial community of sediment and enriched MFC was analyzed by FISH (fluorescent in situ hybridization) and 16S rDNA sequencing. ${\alpha}$-Proteobacteria, Acidobacter and Cyanobactia group were dominant in sediment by FISH. The coulombs of the final 10 peak of the 3 MFC (Nakdong, Hoidong, Gijang) were 0.64 C, 0.50 C, 0.61 C, respectively. When MFCs were enriched by sediment, ${\beta}$-, ${\gamma}$-Proteobacteria, Acidobacter and Firmicutes group increased 45~90%, 50~90%, 40~80% and 45~125%, respectively. In results of 16S rDNA sequencing, Roseomonas sp., Azospillium sp., Frateuria sp., Dyella sp., Enterobacter sp. and Deinocossus were isolated from Nakdong river and Azospillium sp., Delftia sp., Ralstonia sp., Klebsiella sp. and Deinococcus sp. were isolated from protected water area in Gijang and Pseudomonas sp., Klebsiella sp., Deinococcus sp., Leifsonia sp. and Bacillus sp. were isolated from Hoidong river.

COG 알고리즘으로 파악한 Proteobacteria의 보존적 유전자

  • Lee, Dong-Geun;Lee, Jin-Ok;Lee, Jae-Hwa
    • 한국생물공학회:학술대회논문집
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    • 2003.04a
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    • pp.715-718
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    • 2003
  • A COG (clusters of orthologous groups of proteins) algorithm, protein similarities among genomes, was used to detect conserved genes and to figure out their relationships within 42 procaryote, 33 Bacteria and 16 Proteobacteria All analyzed procaryotes shared 75 COGs. COG0195, COG0358 and COG0528 were only represented by the 42 procaryotes. Sixty-four COGs were added as conserved genes in 33 eubacteria. Each Proteobacteria group has a unique repertoire of COGs. Metabolic COGs were more diverse in the beta-Proteobacteria group than in the other groups. The possibilities of detecting new biological molecules is high in phylogenetically related organisms, hence the identification of useful proteins by using this algorithm is possible.

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Analysis of Microbial Community Structure for Effective Removal of Mixed Wastewater in Biological Wastewater Treatment (혼합폐수의 효율적인 처리를 위한 생물학적 처리공정 내의 미생물 군집 특성 분석)

  • Son, Hyeng-Sik;Son, Hee-Jong;Lee, Sang-Joon
    • KSBB Journal
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    • v.28 no.3
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    • pp.157-164
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    • 2013
  • Depending on season, mixed wastewater can show great deviations in terms of the influent ratios of tannery and seafood-wastewater. Increases in the ratio of tannery wastewater in influent water also result in increases in the concentration of chromium, which decreases the ratio of BOD/T-N so that the removal efficiency of organic and nitrogen pollutants in biological wastewater treatment deteriorates. No substantial differences occur in the ratios of Eubacteria/total bacteria as the ratio between tannery wastewater and seafood wastewater changes in the influent water. In contrast, the cell numbers and activities of Eubacteria and total bacteria significantly decline with increasing ratios of tannery wastewater in the influent water. Stable removal of organic and nitrogen pollutants by biological wastewater treatments leads to dominance of Proteobacteria groups in all biological treatment basins. In aeration and oxic basins, ${\gamma}$-Proteobacteria account for approximately 21% of the Eubacteria groups, at $1.9{\times}10^9{\sim}2.0{\times}10^9$ cells/mL, while in an anoxic basin, ${\beta}$-Proteobacteria account for approximately 19% of the Eubacteria groups, at $1.3{\times}10^9$ cells/mL. However, a substantial decline in dominance of approximately 11% occurs for ${\gamma}$-Proteobacteria in aeration and oxic basins and about 1% for ${\beta}$-Proteobacteria in an anoxic basin. Mixed wastewater that undergoes extensive property changes of the influent water shows an efficiency of biological treatment that is greatly influenced by the ratio of dominant Proteobacteria groups.